Image Restoration Core

图像修复核心

• 批准号: 8376474
• 负责人: ALFRED O. HERO
• 金额: $ 23.59万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-07-15 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8376474
• 关键词: Acceleration; Accounting; Affect; Algorithms; Area; Atlases; Automobile Driving; Back; Breast; Cancer Patient; Categories; Companions; Computer software; Computers; Confidence Intervals; Cryoultramicrotomy; Data; Data Set; Data Sources; Detection; Development; Drug Formulations; Ensure; Equation; Estimation Techniques; Evaluation; Family; Financial compensation; Freedom; Head; Histologic; Histology; Human Resources; Image; Imagery; Imaging problem; Implant; Implanted Electrodes; Indium; Instruction; Label; Language; Learning; Life; Likelihood Functions; MRI Scans; Machine Learning; Magnetic Resonance Imaging; Malignant Neoplasms; Maps; Measurement; Methodology; Methods; Modality; Modeling; Morphologic artifacts; Motion; Mus; Noise; Patients; Performance; Population; Postdoctoral Fellow; Process; Psychological Techniques; Radar; Reading; Relative (related person); Reporting; Research; Research Personnel; Resolution; Sample Size; Sampling Errors; Scanning; Selection Criteria; Signal Transduction; Simulate; Slice; Software Tools; Source; Space Models; Spatial Distribution; Specific qualifier value; Speech; Staining method; Stains; Statistical Models; Structure; Subject Headings; System; Techniques; Technology; Testing; Time; To specify; Training; Ultrasonography; Uncertainty; Update; Validation; Variant; Visual; Work; base; breast scan; data space; density; design; experience; falls; image registration; improved; in vivo; independent component analysis; indexing; kinematics; meetings; model development; particle; prevent; radiologist; research and development; research study; restoration; simulation; software development; statistics; theories; tool; tumor; tumor growth; validation studies; vector; virtual

The image registration core will perform research and development that support the broad range of image registration activities in Projects 1-3. The core will develop methods of image registration that can meet the stringent requirements of the projects in this proposal: fast computation, high spatial resolution, motion estimation, and management of uncertainty and registration error. Core B will develop software for the projects in the following areas: mapping histology back to in vivo image volumes (Project 1); estimating head motion for EPI speech activation studies (Project 2); and registering dynamic contrast enhanced (DCE) MRI breast volumes (Project 3). A general cross-cutting aim will be to quantify and predict registration uncertainty for the image registration algorithms used in the Projects. RELEVANCE (See instructions):  This core will design state-of-the-art image registration software that will be applied to the management of cancer patient therapy. ,

图像注册核心将执行支持广泛图像的研究和开发 项目1-3中的注册活动。核心将开发图像注册的方法，以满足 该提案中项目的严格要求：快速计算，高空间分辨率，运动 估计和管理不确定性和注册错误。核心B将开发用于 以下领域的项目：将组织学映射回体内图像量（项目1）；估计头 EPI语音激活研究运动（项目2）；并注册动态对比度增强（DCE）MRI 乳房量（项目3）。一般的横切目标将是量化和预测注册不确定性 对于项目中使用的图像注册算法。 相关性（请参阅说明）： 该核心将设计最先进的图像注册软件，该软件将应用于 癌症患者疗法。 ，，，，